The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-22"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "9098641 (up from 8955536 yesterday: 1.6 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "472171 (up from 468365 yesterday: 0.81 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.19



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2312300 31010 1.36 120402 425 0.35 5.21
Brazil 1106470 21432 1.98 51271 654 1.29 4.63
Russia 591465 7586 1.30 8196 95 1.17 1.39
India 440215 14933 3.51 14011 312 2.28 3.18
United Kingdom 306761 958 0.31 42731 14 0.03 13.93
Peru 257447 6109 2.43 8223 362 4.61 3.19
Chile 246963 4608 1.90 4502 23 0.51 1.82
Spain 246504 232 0.09 28324 1 0.00 11.49
Italy 238720 221 0.09 34657 23 0.07 14.52
Iran 207525 2573 1.26 9742 119 1.24 4.69
France 197381 373 0.19 29666 23 0.08 15.03
Germany 191768 496 0.26 8899 4 0.04 4.64
Turkey 188897 1212 0.65 4974 24 0.48 2.63
Mexico 185122 4577 2.54 22584 759 3.48 12.20
Pakistan 185034 3946 2.18 3695 105 2.92 2.00
Saudi Arabia 161005 3393 2.15 1307 40 3.16 0.81
Bangladesh 115786 3480 3.10 1502 38 2.60 1.30
Canada 103418 340 0.33 8494 12 0.14 8.21
South Africa 101590 4288 4.41 1991 61 3.16 1.96
Qatar 88403 1034 1.18 99 1 1.02 0.11
China 84624 52 0.06 4639 0 0.00 5.48
Colombia 71367 2531 3.68 2426 73 3.10 3.40
Belgium 60550 0 0.00 9696 0 0.00 16.01
Belarus 59023 518 0.89 351 5 1.45 0.59
Sweden 58932 2889 5.15 5122 69 1.37 8.69
Egypt 56809 1576 2.85 2278 85 3.88 4.01
Ecuador 50640 0 0.00 4223 0 0.00 8.34
Netherlands 49866 65 0.13 6109 0 0.00 12.25
Indonesia 46845 954 2.08 2500 35 1.42 5.34
United Arab Emirates 45303 378 0.84 303 1 0.33 0.67
Argentina 44931 2146 5.02 1043 32 3.17 2.32
Singapore 42313 218 0.52 26 0 0.00 0.06
Kuwait 40291 641 1.62 330 4 1.23 0.82
Portugal 39392 259 0.66 1534 4 0.26 3.89
Ukraine 38056 695 1.86 1022 10 0.99 2.69
Iraq 32676 1808 5.86 1167 67 6.09 3.57
Poland 32227 296 0.93 1359 3 0.22 4.22
Switzerland 31310 18 0.06 1956 0 0.00 6.25
Oman 31076 1605 5.45 137 6 4.58 0.44
Philippines 30682 630 2.10 1177 8 0.68 3.84
Afghanistan 29157 324 1.12 598 17 2.93 2.05
Dominican Republic 27370 693 2.60 669 7 1.06 2.44
Panama 26752 722 2.77 521 20 3.99 1.95
Bolivia 25493 1105 4.53 820 47 6.08 3.22
Ireland 25383 4 0.02 1717 2 0.12 6.76
Romania 24291 246 1.02 1523 11 0.73 6.27
Bahrain 22407 643 2.95 65 2 3.17 0.29
Israel 21082 304 1.46 307 1 0.33 1.46
Nigeria 20919 675 3.33 525 7 1.35 2.51
Armenia 20588 320 1.58 360 10 2.86 1.75
Kazakhstan 18231 499 2.81 127 7 5.83 0.70
Japan 17820 40 0.22 955 0 0.00 5.36
Austria 17380 39 0.22 690 0 0.00 3.97
Moldova 14363 163 1.15 480 7 1.48 3.34
Ghana 14154 0 0.00 85 0 0.00 0.60
Guatemala 13769 624 4.75 547 16 3.01 3.97
Honduras 13356 587 4.60 395 32 8.82 2.96
Azerbaijan 13207 478 3.76 161 7 4.55 1.22
Serbia 12990 96 0.74 262 1 0.38 2.02
Denmark 12727 136 1.08 602 2 0.33 4.73
Korea, South 12484 46 0.37 281 1 0.36 2.25
Cameroon 12041 149 1.25 308 5 1.65 2.56
Algeria 11920 149 1.27 852 7 0.83 7.15
Czechia 10523 25 0.24 336 0 0.00 3.19
Morocco 10172 195 1.95 214 0 0.00 2.10
Nepal 9561 535 5.93 23 0 0.00 0.24
Norway 8751 6 0.07 248 4 1.64 2.83
Sudan 8698 118 1.38 533 12 2.30 6.13
Malaysia 8587 15 0.17 121 0 0.00 1.41
Cote d’Ivoire 7677 185 2.47 56 2 3.70 0.73
Australia 7492 18 0.24 102 0 0.00 1.36
Finland 7144 1 0.01 327 1 0.31 4.58
Uzbekistan 6461 146 2.31 19 0 0.00 0.29
Senegal 5970 82 1.39 86 2 2.38 1.44
Congo (Kinshasa) 5924 98 1.68 135 5 3.85 2.28
Tajikistan 5513 56 1.03 52 0 0.00 0.94
Haiti 5211 134 2.64 88 0 0.00 1.69
North Macedonia 5196 90 1.76 247 9 3.78 4.75

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 388488 552 0.14 31176 51 0.16 8.02 19970.02 1602.59 1 in 50
California 184765 6219 3.48 5566 51 0.92 3.01 4676.15 140.87 1 in 214
New Jersey 169415 273 0.16 12974 35 0.27 7.66 19073.56 1460.68 1 in 52
Illinois 137224 462 0.34 6671 24 0.36 4.86 10829.07 526.44 1 in 92
Texas 117790 4846 4.29 2207 16 0.73 1.87 4062.30 76.11 1 in 246
Massachusetts 107210 149 0.14 7873 16 0.20 7.34 15427.00 1132.89 1 in 65
Florida 100217 2926 3.01 3173 12 0.38 3.17 4666.09 147.73 1 in 214
Pennsylvania 86576 641 0.75 6426 3 0.05 7.42 6762.70 501.95 1 in 148
Michigan 67957 246 0.36 6097 7 0.11 8.97 6804.64 610.50 1 in 147
Georgia 65928 1227 1.90 2648 5 0.19 4.02 6209.42 249.40 1 in 161
Maryland 64603 297 0.46 3074 8 0.26 4.76 10685.81 508.46 1 in 94
Virginia 58465 471 0.81 1620 9 0.56 2.77 6849.61 189.80 1 in 146
Arizona 54599 2008 3.82 1351 2 0.15 2.47 7170.03 177.42 1 in 139
North Carolina 53964 1163 2.20 1278 55 4.50 2.37 5145.27 121.85 1 in 194
Louisiana 50239 461 0.93 3117 12 0.39 6.20 10806.89 670.50 1 in 93
Connecticut 45782 27 0.06 4263 3 0.07 9.31 12841.04 1195.70 1 in 78
Ohio 45537 729 1.63 2704 4 0.15 5.94 3895.68 231.33 1 in 257
Indiana 42633 210 0.50 2553 13 0.51 5.99 6332.68 379.22 1 in 158
Tennessee 35553 451 1.28 531 5 0.95 1.49 5203.00 77.71 1 in 192
Minnesota 33227 307 0.93 1416 4 0.28 4.26 5891.70 251.08 1 in 170
Colorado 30689 165 0.54 1651 4 0.24 5.38 5329.12 286.69 1 in 188
Alabama 30454 433 1.44 841 2 0.24 2.76 6211.06 171.52 1 in 161
Washington 28870 190 0.66 1276 6 0.47 4.42 3791.25 167.57 1 in 264
Iowa 26146 183 0.70 686 0 0.00 2.62 8286.98 217.43 1 in 121
South Carolina 25666 1005 4.08 659 6 0.92 2.57 4984.93 127.99 1 in 201
Wisconsin 25068 249 1.00 745 1 0.13 2.97 4305.42 127.95 1 in 232
Mississippi 22329 1688 8.18 978 40 4.26 4.38 7502.65 328.61 1 in 133
Missouri 18592 133 0.72 970 5 0.52 5.22 3029.28 158.05 1 in 330
Nebraska 17963 151 0.85 249 5 2.05 1.39 9286.05 128.72 1 in 108
Utah 17906 444 2.54 158 0 0.00 0.88 5585.23 49.28 1 in 179
Rhode Island 16459 122 0.75 903 9 1.01 5.49 15536.72 852.40 1 in 64
Arkansas 16083 522 3.35 227 2 0.89 1.41 5329.33 75.22 1 in 188
Kentucky 13839 89 0.65 526 0 0.00 3.80 3097.59 117.73 1 in 323
Nevada 13528 288 2.18 489 2 0.41 3.61 4391.99 158.76 1 in 228
Kansas 12428 292 2.41 258 1 0.39 2.08 4265.93 88.56 1 in 234
Delaware 10820 45 0.42 435 0 0.00 4.02 11111.52 446.72 1 in 90
Oklahoma 10734 218 2.07 369 0 0.00 3.44 2712.68 93.25 1 in 369
New Mexico 10694 129 1.22 469 0 0.00 4.39 5100.08 223.67 1 in 196
District of Columbia 10058 38 0.38 535 2 0.38 5.32 14251.53 758.06 1 in 70
Oregon 7083 511 7.78 192 4 2.13 2.71 1679.34 45.52 1 in 595
Puerto Rico 6564 39 0.60 149 0 0.00 2.27 2055.30 46.65 1 in 487
South Dakota 6326 29 0.46 81 0 0.00 1.28 7150.78 91.56 1 in 140
New Hampshire 5558 14 0.25 339 0 0.00 6.10 4087.63 249.32 1 in 245
Idaho 4254 248 6.19 89 0 0.00 2.09 2373.80 49.66 1 in 421
North Dakota 3313 25 0.76 77 0 0.00 2.32 4347.42 101.04 1 in 230
Maine 2971 14 0.47 102 0 0.00 3.43 2210.22 75.88 1 in 452
West Virginia 2552 19 0.75 89 0 0.00 3.49 1427.97 49.80 1 in 700
Wyoming 1230 33 2.76 20 0 0.00 1.63 2125.24 34.56 1 in 471
Vermont 1163 4 0.35 56 0 0.00 4.82 1863.81 89.75 1 in 537
Hawaii 816 2 0.25 17 0 0.00 2.08 576.32 12.01 1 in 1735
Alaska 758 6 0.80 12 0 0.00 1.58 1036.16 16.40 1 in 965
Montana 734 17 2.37 21 1 5.00 2.86 686.77 19.65 1 in 1456

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3452099 388488 11.25 177453.32
California 3411686 184765 5.42 86345.08
New Jersey 1267399 169415 13.37 142689.92
Illinois 1380003 137224 9.94 108903.29
Texas 1549009 117790 7.60 53421.69
Massachusetts 780063 107210 13.74 112247.31
Florida 1617487 100217 6.20 75309.94
Pennsylvania 667848 86576 12.96 52167.52
Michigan 918017 67957 7.40 91922.51
Georgia 708026 65928 9.31 66685.30
Maryland 474725 64603 13.61 78523.01
Virginia 558123 58465 10.48 65388.29
Arizona 429790 54599 12.70 56440.71
North Carolina 757345 53964 7.13 72210.04
Louisiana 618064 50239 8.13 132951.47
Connecticut 397552 45782 11.52 111506.31
Ohio 659601 45537 6.90 56428.72
Indiana 418916 42633 10.18 62225.55
Tennessee 700105 35553 5.08 102456.78
Minnesota 513137 33227 6.48 90987.67
Colorado 282772 30689 10.85 49103.14
Alabama 349110 30454 8.72 71200.66
Washington 474938 28870 6.08 62369.62
Iowa 258632 26146 10.11 81973.46
South Carolina 303880 25666 8.45 59020.56
Wisconsin 491702 25068 5.10 84449.56
Mississippi 253249 22329 8.82 85092.85
Missouri 317374 18592 5.86 51711.24
Nebraska 156508 17963 11.48 80907.44
Utah 299312 17906 5.98 93361.17
Rhode Island 218668 16459 7.53 206415.00
Arkansas 256339 16083 6.27 84941.64
Kentucky 322032 13839 4.30 72080.48
Nevada 244065 13528 5.54 79237.87
Kansas 155013 12428 8.02 53208.48
Delaware 96723 10820 11.19 99329.00
Oklahoma 282658 10734 3.80 71432.92
New Mexico 293431 10694 3.64 139940.36
District of Columbia 82004 10058 12.27 116194.28
Oregon 206628 7083 3.43 48990.25
Puerto Rico 6564 6564 100.00 2055.30
South Dakota 73329 6326 8.63 82889.57
New Hampshire 108862 5558 5.11 80062.60
Idaho 72968 4256 5.83 40717.27
North Dakota 97453 3313 3.40 127880.67
Maine 81004 2971 3.67 60261.33
West Virginia 151204 2552 1.69 84606.36
Wyoming 27392 1230 4.49 47328.85
Vermont 58607 1163 1.98 93923.13
Hawaii 68711 816 1.19 48529.10
Alaska 90824 758 0.83 124153.67
Montana 71305 734 1.03 66716.38

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 139010 6935 5.25 69631 50.09 62833 6531 361 5.85 4.70
Delhi 66602 6856 11.48 39313 59.03 24988 2301 126 5.79 3.45
Tamil Nadu 64603 2516 4.05 35339 54.70 28431 833 39 4.91 1.29
Gujarat 28429 1112 4.07 20521 72.18 6197 1711 47 2.82 6.02
Uttar Pradesh 18893 1162 6.55 12116 64.13 6189 588 38 6.91 3.11
Rajasthan 15627 630 4.20 12213 78.15 3049 365 16 4.58 2.34
West Bengal 14728 370 2.58 9218 62.59 4930 580 11 1.93 3.94
Madhya Pradesh 12261 183 1.52 9335 76.14 2401 525 4 0.77 4.28
Haryana 11520 811 7.57 6498 56.41 4844 178 17 10.56 1.55
Andhra Pradesh 9834 462 4.93 4592 46.70 5123 119 8 7.21 1.21
Karnataka 9721 322 3.43 6004 61.76 3563 150 8 5.63 1.54
Telangana 9553 1751 22.44 4224 44.22 5109 220 10 4.76 2.30
Bihar 8050 242 3.10 6027 74.87 1969 54 2 3.85 0.67
State Unassigned 8015 183 2.34 0 0.00 8015 0 0 NaN 0.00
Jammu and Kashmir 6236 148 2.43 3642 58.40 2507 87 5 6.10 1.40
Assam 6056 470 8.41 3763 62.14 2281 9 0 0.00 0.15
Odisha 5470 167 3.15 3988 72.91 1458 24 3 14.29 0.44
Punjab 4397 162 3.83 3047 69.30 1245 105 4 3.96 2.39
Kerala 3452 141 4.26 1807 52.35 1620 23 1 4.55 0.67
Uttarakhand 2535 134 5.58 1602 63.20 886 30 3 11.11 1.18
Chhattisgarh 2385 130 5.76 1527 64.03 846 12 1 9.09 0.50
Jharkhand 2193 104 4.98 1520 69.31 662 11 0 0.00 0.50
Tripura 1263 39 3.19 807 63.90 455 1 0 0.00 0.08
Ladakh 932 85 10.04 148 15.88 783 1 0 0.00 0.11
Manipur 921 23 2.56 258 28.01 663 0 0 NaN 0.00
Goa 909 91 11.12 205 22.55 702 2 1 100.00 0.22
Himachal Pradesh 775 59 8.24 432 55.74 323 7 0 0.00 0.90
Chandigarh 418 7 1.70 322 77.03 90 6 0 0.00 1.44
Puducherry 402 19 4.96 165 41.04 228 9 1 12.50 2.24
Nagaland 330 50 17.86 141 42.73 189 0 0 NaN 0.00
Arunachal Pradesh 158 19 13.67 38 24.05 120 0 0 NaN 0.00
Mizoram 145 3 2.11 19 13.10 126 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 121 19 18.63 27 22.31 93 0 0 NaN 0.00
Sikkim 78 0 0.00 29 37.18 49 0 0 NaN 0.00
Andaman and Nicobar Islands 54 6 12.50 40 74.07 14 0 0 NaN 0.00
Meghalaya 46 3 6.98 41 89.13 4 1 0 0.00 2.17
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 964735 93111 143 0.15 9.65 1047 51 13638 16573 17.80
Piemonte 391668 31248 7 0.02 7.98 346 19 1970 4055 12.98
Emilia-Romagna 455992 28243 22 0.08 6.19 129 12 1154 4235 14.99
Veneto 882529 19247 2 0.01 2.18 29 1 585 2003 10.41
Toscana 313455 10211 1 0.01 3.26 18 9 360 1099 10.76
Liguria 137579 9935 8 0.08 7.22 58 1 250 1552 15.62
Lazio 319581 8025 8 0.10 2.51 201 23 945 830 10.34
Marche 129281 6774 3 0.04 5.24 13 0 505 994 14.67
Campania 266472 4624 7 0.15 1.74 40 0 133 431 9.32
Puglia 162940 4527 0 0.00 2.78 33 0 218 540 11.93
P.A. Trento 112483 4464 1 0.02 3.97 0 0 53 466 10.44
Friuli Venezia Giulia 175706 3305 0 0.00 1.88 15 0 72 344 10.41
Abruzzo 98872 3282 1 0.03 3.32 49 3 394 460 14.02
Sicilia 192138 3072 0 0.00 1.60 20 6 141 280 9.11
P.A. Bolzano 80085 2633 11 0.42 3.29 4 1 89 292 11.09
Umbria 88714 1438 0 0.00 1.62 4 1 13 78 5.42
Sardegna 76379 1369 0 0.00 1.79 9 0 28 132 9.64
Valle d’Aosta 18239 1193 0 0.00 6.54 4 0 5 146 12.24
Calabria 88372 1174 1 0.09 1.33 15 0 33 97 8.26
Molise 20752 444 3 0.68 2.14 3 0 43 23 5.18
Basilicata 37370 401 0 0.00 1.07 1 0 8 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 54835 69 0.13 5417 0 0.00 9.88 6422.71 634.48 1 in 156
Ontario 35418 201 0.57 2666 9 0.34 7.53 2407.45 181.21 1 in 415
Alberta 7736 32 0.42 153 1 0.66 1.98 1752.94 34.67 1 in 570
British Columbia 2822 32 1.15 169 1 0.60 5.99 552.15 33.07 1 in 1811
Nova Scotia 1061 0 0.00 63 1 1.61 5.94 1085.47 64.45 1 in 921
Saskatchewan 751 5 0.67 13 0 0.00 1.73 635.54 11.00 1 in 1573
Manitoba 314 1 0.32 7 0 0.00 2.23 227.95 5.08 1 in 4387
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 164 0 0.00 2 0 0.00 1.22 210.26 2.56 1 in 4756
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1634 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1161 5 0.43
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 843 9 1.07
Shandong 792 7 0.88
Shanghai 701 7 1.00
Jiangsu 654 0 0.00
Sichuan 589 3 0.51
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 346 6 1.73
Shaanxi 317 3 0.95
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 198 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Gansu 158 2 1.27
Jilin 155 2 1.29
Liaoning 154 2 1.30
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 7066.93 367.98 1 in 142
Brazil 5286.53 244.96 1 in 189
Russia 4093.18 56.72 1 in 244
India 328.76 10.46 1 in 3042
United Kingdom 4617.11 643.15 1 in 217
Peru 8002.70 255.61 1 in 125
Chile 13682.16 249.42 1 in 73
Spain 5282.98 607.03 1 in 189
Italy 3947.09 573.03 1 in 253
Iran 2556.99 120.03 1 in 391
France 2946.42 442.84 1 in 339
Germany 2316.32 107.49 1 in 432
Turkey 2337.54 61.55 1 in 428
Mexico 1432.83 174.80 1 in 698
Pakistan 939.26 18.76 1 in 1065
Saudi Arabia 4887.83 39.68 1 in 205
Bangladesh NA NA 1 in NA
Canada 2751.21 225.96 1 in 363
South Africa 1791.08 35.10 1 in 558
Qatar 33498.67 37.51 1 in 30

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 212741 22321 10.49
Cook Illinois 87424 4423 5.06
Los Angeles California 86017 3137 3.65
Nassau New York 41513 2178 5.25
Suffolk New York 41010 1965 4.79
Westchester New York 34557 1415 4.09
Maricopa Arizona 31650 634 2.00
Miami-Dade Florida 26239 884 3.37
Philadelphia Pennsylvania 25116 1553 6.18
Middlesex Massachusetts 23609 1809 7.66
Harris Texas 23047 332 1.44
Wayne Michigan 22180 2689 12.12
Suffolk Massachusetts 19567 979 5.00
Hudson New Jersey 19316 1308 6.77
Bergen New Jersey 19037 1701 8.94
Essex New Jersey 18578 1761 9.48
Prince George’s Maryland 17935 661 3.69
Dallas Texas 17299 317 1.83
Passaic New Jersey 16772 1015 6.05
Middlesex New Jersey 16618 1101 6.63
Fairfield Connecticut 16483 1362 8.26
Union New Jersey 16340 1138 6.96
Essex Massachusetts 15851 1077 6.79
Montgomery Maryland 14141 723 5.11
Riverside California 13800 424 3.07
Rockland New York 13514 667 4.94
Fairfax Virginia 13499 438 3.24
Providence Rhode Island 12712 0 0.00
New Haven Connecticut 12196 1063 8.72
Worcester Massachusetts 12143 903 7.44
Oakland Michigan 11740 1078 9.18
Hartford Connecticut 11414 1350 11.83
Broward Florida 11327 373 3.29
San Diego California 11096 338 3.05
Marion Indiana 10962 669 6.10
Palm Beach Florida 10943 468 4.28
Hennepin Minnesota 10920 747 6.84
Clark Nevada 10774 400 3.71
Orange New York 10654 473 4.44
Orange California 10595 269 2.54
Milwaukee Wisconsin 10355 371 3.58
District of Columbia District of Columbia 10058 535 5.32
Ocean New Jersey 9440 850 9.00
San Bernardino California 9361 234 2.50
Lake Illinois 9356 401 4.29
King Washington 9253 602 6.51
Salt Lake Utah 9052 102 1.13
Norfolk Massachusetts 9010 914 10.14
Monmouth New Jersey 8965 696 7.76
Mecklenburg North Carolina 8956 143 1.60

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc